Lead AI engineer

mirakllabs; Paris; Hybrid; EUR 90,000 - 100,000; Full time

Job summary

Mirakl is seeking a Lead AI Engineer to design, develop and deploy AI systems across strategic domains such as Sales, GTM, Marketing or Finance & Legal. This permanent CDI role is based in Paris or Bordeaux with 4 days on-site per week.

You will combine deep AI engineering expertise with product understanding to define roadmaps, drive architectural decisions, and deliver measurable outcomes across teams. A 7+ years background in Software/ML engineering and leadership is expected.

Qualifications

• 7+ years in Software/ML engineering with production AI systems.
• Strong ability to influence product and business decisions.
• Proven leadership on cross-functional initiatives.

Responsibilities

• Own the tech strategy and map the domain's AI roadmap.
• Design and build production-grade AI systems with scalability in mind.
• Drive adoption, measure outcomes, and accelerate AI transformation.
• Promote technical excellence with guardrails, testing, and observability.
• Grow AI capability by mentoring engineers and building reusable components.

Skills

AI/ML Engineering

Leadership

Cross-functional collaboration

Product & business impact

Education

Bachelor's degree in Computer Science or related

Tools

Python

SQL

Docker

Kubernetes

AWS or GCP

Job description

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com .

Mirakl in Numbers: Founded in 2012 | Member of French Tech Next40 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 350+ Mirakl Tech teams members mainly based in France 5 Saas Solutions

Our Values: Work Hard Together: Teamwork and collaboration are the foundation of our success

Get Things Done: We prioritize action and efficiency for impactful results

Go Above & Beyond: We tackle challenges proactively and always aim for excellence

Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture

Satisfy & Empower Clients: We're committed to our clients' success

About the job

Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes. As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Annual gross salary range (package): €90,000 – €100,000

Why Now, Why Mirakl

Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Lead AI Engineer to transform cutting‑edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it.

What You’ll Do

1. Own Tech Strategy for Your Domain Identify high-value opportunities with Business leaders Define the Tech vision and own the agent product roadmap for your domain
2. Lead AI System Development Design and build production-grade AI systems Drive architecture decisions Ensure scalability, reliability, and maintainability
3. Drive Adoption & Business Impact Work closely with end users Measure adoption and outcomes Accelerate AI transformation across your domain
4. Establish Technical Excellence Promote best practices for evaluation, testing, guardrails, and observability Review designs and mentor engineers Raise the quality bar across initiatives
5. Grow AI Capability Mentor AI Engineers and Agent Builders Share knowledge and reusable components Build AI expertise within your organization

Our stack and tools

Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes

You'll Love This Job

If you have 7+ years in Software Engineering, ML Engineering, or Applied AI Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems Ability to influence Product and Business decisions Proven leadership on complex cross-functional initiatives

As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.